As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers.
Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools.
The TeamQuant Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities.
We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.
Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: "Quant Platform Developers" otherwise known as our "Core Techs", and "Quant Developers" which we often refer to as "Sector Techs".
We use the term "Sector Tech" because some of our teams are aligned with a particular asset class or market sector.
People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.
Our TechnologyOur systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively.
We implement the systems that require the highest data throughput in Java and C++.
We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication.
We heavily utilise ArcticDB (https://arcticdb.io/) our in-house developed DataFrame Database.
Our technology list is never static: we constantly evaluate new tools and libraries.
Working HereAHL has a small company, no-attitude feel.
It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.
We are actively engaged with the broader technology community.
We host and sponsor London's PyData and Machine Learning MeetupsWe regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it.
See @ManQuantTechWe're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.
We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff.
We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units.
We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunchesWe have annual away days and off-sites for the whole teamAs well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a pianoWe offer competitive compensation, a generous holiday allowance, various health and other flexible benefits.
We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.
Technology and Business SkillsExceptional technology skills; recognised by your peers as an expert in your domainA keen interest and understanding of financial markets and instrumentsA proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approachesStrong knowledge of PythonProficient on Linux platforms with knowledge of various scripting languagesExperience of data analysis techniques along with relevant libraries e.g.
NumPy/SciPy/PandasRelevant mathematical knowledge e.g.
statistics, asset pricing theory, optimisation algorithmsAdvantageousExperience of front office quantitative software development e.g.
in a hedge fund or investment bankExperience of web based development and visualisation technology for portraying large and complex data sets and relationshipsExperience of machine learning techniques, natural language processing and related libraries and frameworks e.g.
scikit-learn, TensorflowPersonal AttributesStrong academic record and a degree with high mathematical and computing content e.g.
Computer Science, Mathematics, Engineering or Physics from a leading universityCraftsman-like approach to building software; takes pride in engineering excellence and instils these values in othersDemonstrable passion for technology e.g.
personal projects, open-source involvementIntellectually robust with a keenly analytic approach to problem solvingSelf-organised with the ability to effectively manage time across multiple projects and with competing business demands and prioritiesFocused on delivering value to the business with relentless efforts to improve processStrong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alikeConfident communicator; able to argue a point concisely and deal positively with conflicting views
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